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The Data Nerd Podcast

The Data Nerd Podcast

Di: Nisar Ahmed
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Welcome to The Data Nerd Podcast brought to you by BizNis Intelligence. I'm your host, Nisar Ahmed, join me as we explore the inner data nerd inside all of us. Dive into the world of data alongside special guests who not only share their wealth of experiences and knowledge but also unveil what truly makes them data nerds.2024
  • Tableau Next vs. Tableau Desktop: Pros, Cons & the Future of Tableau | Dub Dub Data
    Oct 22 2026

    Is Tableau Next the future of data analytics, or should Tableau developers stick with what they already know?

    In this episode of The Data Nerd Podcast, Nisar Ahmed sits down with Fi Crocker and Sarah Burnett, co-founders of Dub Dub Data and longtime Tableau Ambassadors, to discuss Tableau Next vs. Tableau Desktop, Salesforce Data 360, and the future of business intelligence.

    Having delivered multiple Tableau Next projects, Fi and Sarah share their firsthand experiences with the platform, including what works, what doesn't, and where traditional Tableau still has the advantage. They discuss how Tableau Next can deliver near real-time analytics and dramatically improve dashboard performance, while also presenting challenges with calculations, customization, and data modeling.

    The conversation explores whether Tableau Next is worth adopting, particularly for organizations already using Salesforce, and what its growing adoption means for Tableau developers. With Tableau Studio and AI entering the picture, are we witnessing the next evolution of Tableau, or is the ecosystem becoming too complicated?

    Beyond the technology, Fi and Sarah share how a chance meeting at Tableau Conference turned into a friendship and eventually a business partnership. They discuss the challenges of entrepreneurship, the power of the Tableau community, and why networking and continuous learning can open doors you never expected.

    Together, they also explore why data storytelling, communication, and being willing to embrace change remain essential skills as AI reshapes the analytics profession.

    Whether you're a Tableau developer, data analyst, Salesforce professional, or business intelligence leader, this episode offers practical insights into the future of Tableau and the opportunities ahead.

    In this episode you'll learn:
    • How Tableau Next compares with Tableau Desktop and Tableau Cloud

    • The real-world benefits and limitations of Tableau Next

    • How Tableau Next enables near real-time reporting and faster dashboards

    • Why Salesforce Data 360 is important to Tableau Next

    • The challenges of data modeling, LOD calculations, and dashboard customization

    • Whether Tableau developers should invest time in learning Tableau Next

    • How Tableau Studio and AI could shape the future of Tableau

    • Why the Tableau ecosystem is becoming more complex

    • How Fi and Sarah went from Tableau community friends to co-founders of Dub Dub Data

    • Why networking, community, and professional relationships matter

    • The importance of continuous learning, teaching, and data storytelling in the age of AI

    Connect with Fi Crocker & Sarah Burnett

    Fi Crocker — LinkedIn: https://www.linkedin.com/in/ficrocker/

    Sarah Burnett — LinkedIn: https://www.linkedin.com/in/sezbee/

    Dub Dub Data Website: https://www.dubdubdata.com/

    Podcast: Undubbed

    🌐 Full episodes of The Data Nerd Podcast and exclusive merch, including the official Data Nerd hat, are available at https://www.thedatanerdpodcast.com/

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    54 min
  • AI Is Changing How We Get Hired: Why Networking Matters More Than Ever | Steven Lukaszewski
    Oct 11 2026
    What if the key to landing your next job in the age of AI isn't a better resume, but a stronger network? In this episode of The Data Nerd Podcast, Nisar Ahmed sits down with Steven Lukaszewski of Burtch Works, a recruiting professional with 18 years of experience, for a conversation about artificial intelligence, the changing job market, professional networking, and why human connections may be more important than ever. Finding a job has become increasingly challenging. As AI transforms the hiring process, job seekers are using AI to optimize their resumes, employers are using AI to screen applications, and recruiters are struggling to distinguish genuinely qualified candidates from those who simply look good on paper. But is technology actually making hiring better, or is it creating more problems than it solves? Steven shares his perspective from nearly two decades in recruiting, explaining why traditional online job applications are becoming less effective and why building genuine professional relationships could be the key to unlocking career opportunities. He discusses how AI-generated resumes, automated screening, and growing concerns about candidate authenticity are changing how employers evaluate talent. Together, Nisar and Steven explore whether LinkedIn is still an effective networking platform or whether we've become too focused on collecting connections instead of building meaningful relationships. They discuss the difference between having thousands of LinkedIn connections and developing a trusted network of people who know your skills, understand your experience, and are willing to advocate for you. The conversation also dives into practical strategies for networking and career growth. Steven explains why networking shouldn't begin when you're looking for a job, how to approach your professional connections for introductions, and why maintaining relationships throughout your career can lead to opportunities you never expected. Nisar and Steven also discuss the importance of in-person networking, attending industry conferences, and building relationships beyond the digital world. As AI makes technical skills more accessible, they explore why communication, business acumen, and the ability to connect with others may become even more valuable. The episode wraps up with a rapid-fire discussion covering employee referrals versus online applications, resumes versus LinkedIn profiles, remote versus in-person networking, whether AI will replace recruiters, and the biggest resume mistakes candidates should avoid. Whether you're a data analyst, technology professional, job seeker, recruiter, or business leader, this episode offers practical advice on navigating the modern job market, building a stronger professional network, and standing out in an increasingly AI-driven hiring landscape. In this episode you'll learn: How AI is transforming recruiting, hiring, and the job search process Why finding a job through traditional online applications is becoming increasingly difficult How AI-generated resumes and automated screening are creating new challenges for recruiters Why having hundreds of qualified-looking applicants doesn't necessarily make hiring easier Whether LinkedIn is still an effective platform for professional networking The difference between collecting LinkedIn connections and building genuine professional relationships Why a smaller, trusted professional network can be more valuable than thousands of connections How to leverage your network to uncover job opportunities and get meaningful introductions Why employee referrals can be more effective than applying online How to approach your connections when looking for a new job Why networking should begin long before you actually need a job How helping others and maintaining relationships can create future career opportunities The importance of in-person networking, industry conferences, and professional communities Why communication skills and business acumen are becoming increasingly important in the age of AI How AI is changing the way employers validate candidates' skills and experience Whether AI will eventually replace human recruiters The advantages of remote, hybrid, and in-person work for career development Why staying in the same role or organization too long can sometimes limit professional growth The biggest resume red flags recruiters notice and how to avoid them Why demonstrating measurable impact matters more than simply listing job responsibilities How to build a professional network that supports long-term career growth Connect with Steven Lukaszewski LinkedIn: https://www.linkedin.com/in/steven-lukaszewski-47584910/ Burtch Works Website: https://burtchworks.com/ 🌐 Full episodes of The Data Nerd Podcast and exclusive merch, including the official Data Nerd hat, are available at https://www.thedatanerdpodcast.com/
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    43 min
  • Data Literacy in the Age of AI: How to Make Better Decisions with Jordan Morrow
    Sep 26 2026

    What if the missing link to making better decisions with AI isn't technology, but data literacy?

    In this episode of The Data Nerd Podcast, Nisar Ahmed sits down with Jordan Morrow, widely recognized as a pioneer of data literacy, author, and founder of Bodhi Data, for a conversation about data literacy, artificial intelligence, critical thinking, and the human skills needed to make better decisions in an AI-driven world.

    Jordan explains why everyone is already using data to make decisions, whether they realize it or not, and why becoming data literate doesn't mean you need to become a data scientist. As AI makes data and analytics more accessible, the real challenge is understanding how to use these tools effectively and turn information into meaningful decisions.

    Together, Nisar and Jordan explore how AI is changing the role of data professionals, why data storytelling and communication are becoming increasingly important, and why investing in technology alone won't make an organization data-driven. Jordan introduces his concept of Engineered Intelligence, which combines data, AI, human intelligence, and emotional intelligence to improve decision-making.

    The conversation also explores the potential risks of becoming too dependent on AI. Are we outsourcing our ability to think? Jordan shares his concerns about cognitive decline, the importance of exercising our critical-thinking skills, and why AI should be a partner rather than a replacement for human intelligence.

    Nisar and Jordan also discuss the future of education, how organizations can improve data and AI literacy, and why schools and businesses need to rethink how they teach, develop, and evaluate skills in the age of AI.

    Whether you're a data analyst, business leader, educator, or someone looking to make better decisions with data and AI, this episode explores why data literacy is becoming an essential skill and why the human element matters more than ever.

    In this episode you'll learn:
    • What data literacy really means and why everyone is already using it
    • Why data literacy is becoming increasingly important in the age of AI
    • How to use data and AI to make better decisions
    • Why access to data and AI tools doesn't automatically make an organization data-driven
    • What Jordan's Engineered Intelligence framework reveals about combining technology with human intelligence
    • Why emotional intelligence and critical thinking are essential for effective decision-making
    • How AI is changing the role of data analysts and the skills they'll need in the future
    • Why data storytelling and communication can be more influential than data alone
    • How organizations can identify and address gaps in data and AI literacy
    • Why investing in AI technology without investing in people can limit its value
    • The risks of becoming overly dependent on AI and outsourcing our thinking
    • How to use AI as a partner without losing your critical-thinking skills
    • Why education needs to evolve to prepare students for an AI-driven future
    • How schools can approach AI policies, responsible AI adoption, and digital literacy
    • Why human intelligence remains essential as AI becomes more powerful

    Connect with Jordan Morrow

    LinkedIn: https://www.linkedin.com/in/jordanmorrow/

    Website: https://www.bodhidata.com/

    🌐 Full episodes of The Data Nerd Podcast and exclusive merch, including the official Data Nerd hat, are available at www.TheDataNerdPodcast.com.

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    52 min
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